Review article

European Journal of Microbiology and Immunology 5 (2015) 1, pp. 62–67 DOI: 10.1556/EuJMI-D-14-00033

DIFFICULT IDENTIFICATION OF HAEMOPHILUS INFLUENZAE, A TYPICAL CAUSE OF UPPER RESPIRATORY TRACT INFECTIONS, IN THE MICROBIOLOGICAL DIAGNOSTIC ROUTINE Rebecca Hinz1, Andreas Erich Zautner2,3, Ralf Matthias Hagen1 and Hagen Frickmann1,4,* 1

Department of Tropical Medicine at the Bernhard Nocht Institute, German Armed Forces Hospital of Hamburg, Germany UMG-Labor, Abteilung Medizinische Mikrobiologie, Universitätsmedizin Göttingen, Germany 3 U MG-Labor, Abteilung Klinische Chemie/Zentrallabor, Universitätsmedizin Göttingen, Germany 4 Institute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, Germany 2

Received: November 24, 2014; Accepted: November 26, 2014 Haemophilus influenzae is a key pathogen of upper respiratory tract infections. Its reliable discrimination from nonpathogenic Haemophilus spp. is necessary because merely colonizing bacteria are frequent at primarily unsterile sites. Due to close phylogenetic relationship, it is not easy to discriminate H. influenzae from the colonizer Haemophilus haemolyticus. The frequency of H. haemolyticus isolations depends on factors like sampling site, patient condition, and geographic region. Biochemical discrimination has been shown to be nonreliable. Multiplex PCR including marker genes like sodC, fucK, and hpd or sequencing of the 16S rRNA gene, the P6 gene, or multilocus-sequence-typing is more promising. For the diagnostic routine, such techniques are too expensive and laborious. If available, matrix-assisted laser-desorption–ionization time-of-flight mass spectrometry is a routine-compatible option and should be used in the first line. However, the used database should contain well-defined reference spectra, and the spectral difference between H. influenzae and H. haemolyticus is small. Fluorescence in-situ hybridization is an option for less well-equipped laboratories, but the available protocol will not lead to conclusive results in all instances. It can be used as a second line approach. Occasional ambiguous results have to be resolved by alternative molecular methods like 16S rRNA gene sequencing. Keywords: routine diagnostics, upper respiratory tract infection, Haemophilus influenzae, Haemophilus haemolyticus, MALDI– TOF–MS, PCR

Introduction As primarily nonsterile sites like the upper respiratory tract are physiologically colonized by bacterial flora of varying composition, it is difficult to discriminate relevant pathogens from harmless colonizers. Haemophilus influenzae is a common cause of upperrespiratory tract infections (URTI) [1, 2], including infections of the middle ear [3]. As shown for patients with cystic fibrosis, some persistent H. influenzae clones show frequent recurrence despite antimicrobial therapy [4]. Accordingly, chronic inflammation may consequently result. Although H. influenzae is frequently isolated and of great importance for the microbiological routine laboratory, its discrimination from the phylogenetically closely related, predominantly harmless colonizer Haemophilus haemolyticus often fails [5, 6]. This review highlights potential ways how this diagnostically important discrimination can be reliably achieved.

H. influenzae vs. H. haemolyticus – why is a discrimination needful? The Gram-negative rod-shaped H. influenzae is one of the quantitatively most important bacterial causes of URTI [1, 2], being frequently isolated from adult patients with recurrent tonsillitis and retropharyngeal abscesses [7–9]. H. influenzae frequently occurs in coinfections with other pathogens like Staphylococcus aureus [7, 10], or – associated in biofilms – with Streptococcus pneumoniae [11]. Next to H. influenzae-caused URTI, asymptomatic colonization of the upper respiratory tract by this species is frequently observed [12, 13] with colonization rates of 30% in healthy volunteers [12]. H. influenzae-colonization frequency is particularly high in children and decreases with increasing age [13]. H. parainfluenzae, H. haemolyticus, and H. parahaemolyticus [14] are other Haemophilus spp. being occa-

* Corresponding author: Hagen Frickmann; Department of Tropical Medicine at the Bernhard Nocht Institute, German Armed Forces Hospital of Hamburg, Bernhard Nocht street 74, D-20359 Hamburg, Germany. Phone: 004940/694728743; Fax: 004940/694728709; E-mail: [email protected] ISSN 2062-509X / $ 20.00 © 2015 Akadémiai Kiadó, Budapest

63

Identification of Haemophilus influenzae

sionally isolated from the upper respiratory tract. They are phylogenetically related with H. influenzae but without relevant pathogenic potential. Haemophilus spp.-colonization of the upper respiratory tract is frequent, accounting for as much as 10% of the culturable bacterial flora [13]. The saprophytic colonizer H. parainfluenzae is no typical cause of local infections of the upper respiratory tract and has been described as a potential cause of infectious endocarditis in few incidences [15]. Most available studies deny a relevant clinical importance of H. haemolyticus [5, 16, 17], although recent investigations suggest etiological relevance at least at some occasions [18]. In normally sterile sites, colonizers like H. haemolyticus are virtually absent [5, 19]. If URTI is suspected, however, sampled materials usually comprise nonsterile fluids or swabs from colonized mucous membranes. Therefore, a reliable discrimination of potentially pathogenic H. influenzae from other Haemophilus spp. is essential due to the species-depending etiological relevance.

The biochemical approach Traditional microbiological laboratories basically use biochemical approaches for the identification of bacterial isolates on species level. Growth factor-based methods make use of the fact that H. influenzae lacks the enzymatic capacity to convert δ-aminolevulinic acid (ALA) to protoporphyrin, hence, depends on factor X (heme) for growth [20, 21]. For the identification of H. influenzae, in particular, X- and V-factor (nicotinic acid diamine, NAD) dependence is usually assessed [20, 22] but does not allow for the discrimination of H. haemolyticus from H. influenzae. A majority of H. haemolyticus strains causes α-hemolysis on horse, cow, or rabbit blood agar [22–24], which H. influenzae cannot do. Unfortunately, H. haemolyticus does not show this phenomenon on sheep blood agar, which is most frequently used in microbiological routine diagnostics, considerably reducing the practical relevance. Furthermore, also nonhemolytically growing H. haemolyticus isolates have been observed [6, 17] and even primarily hemolytic H. haemolyticus isolates can lose this phenotype during passage [25]. Accordingly, the discriminative power of α-hemolysis should not be overestimated and H. haemolyticus isolates will usually be misidentified as H. influenzae un-

der routine conditions by a large proportion of diagnostic laboratories. Many laboratories use automated biochemical differentiation systems, which, however, do not score much better. As recently shown, traditional differentiation systems for the identification of Haemophilus spp. like apiNH (bioMérieux, Nürtingen, Germany) or VITEK-NH cards (bioMérieux) show misidentifications in 1–10% of the samples [21, 26–28].

PCR- and hybridization-based approaches Species discrimination by PCR requires the selective amplification of target genes that are present in the target organism but absent in the nontarget organism. The identification of such targets is challenging for phylogenetically closely related species like H. influenzae and H. haemolyticus. Nucleic acid sequences that are used as marker genes for H. influenzae comprise fuculose kinase (fucK), protein D (hpd), and IgA protease (iga) as well as the adherence and penetration gene (hap). In contrast, the [Cu, Zn]-superoxide dismutase gene (sodC) has been used as a marker for H. haemolyticus. Enzymatically active [Cu, Zn]-superoxide dismutase was shown to be absent in H. influenzae [29]. However, no target shows acceptable specificity alone by itself but only in combination [6, 30– 33]. Suggested primer sequences are provided in Table 1. In a study with 78 H. influenzae strains and 44 H. haemolyticus strains, sensitivity and specificity of hpd PCR were 88.5% and 97.7%, of fucK PCR 64.1% and 100%, and of a combined approach of hpd and fucK PCR 92.3% and 97.7%, respectively, for the identification of H. influenzae [32]. Another study confirmed the discriminatory power of hap, fucK, and sodC while the reliability of iga detection showed limitations. In this study, 10 out of 11 H. influenzae strains were genotypically iga positive but also 20 out of 31 strains distinct from this cluster [34]. This latter result was confirmed by another study, stating excellent specificity of hpd-PCR but specificity problems of the iga-based approach [30]. In contrast, hybridization-based diagnostic approaches comprising iga variable region hybridization to dotblots and library-on-a-slide microarrays show good correlation to multigene sequence-based phylogenetic trees [31], but also, hap, fucK, and sodC amplicons were successfully detected by hybridization blot analysis [6]. Even traditional, very laborious DNA–DNA hybridization [35–37] ap-

Table 1. Primers for the amplification of target genes sodC, fucK and hpd that were found to be suitable for the discrimination of H. influenzae from H. haemolyticus (according to Ref. [38]) Target

Forward primer

Reverse primer

sodC

5ʹ-CAY-SAA-AAY-CCA-AGC-TG-3ʹ

5ʹ-CAY-MCG-YGS-GCC-GSC-RCC-RCC-3ʹ

fucK

5ʹ-ACC-ACT-TTC-GGC-GTG-GAT-GG-3ʹ

5ʹ-AAG-ATT-TCC-CAG-GTG-CCA-GA-3ʹ

hpd

5ʹ-GGT-TAA-ATA-TGC-CGA-TGG-TGT-TG-3ʹ

5ʹ-TGC-ATC-TTT-ACG-CAC-GGT-GTA-3ʹ European Journal of Microbiology and Immunology

64

R. Hinz et al.

Table 2. Primers for partial 16S rRNA gene sequencing to discriminate H. influenzae from H. haemolyticus (according to Refs. [5] and [38]) Target

Forward primer

16S rRNA

5ʹ-GCA-GGT-TCC-CTA-CGG-TTA-3ʹ

proaches have been used for the diagnostic discrimination of H. influenzae and H. haemolyticus [5]. In up-to-date epidemiological assessments, easy-toapply multiplex PCR-approaches are preferably used [38].

Sequence-based approaches The most frequently used [38] procedure to discriminate H. influenzae from H. haemolyticus by sequence analysis is partial 16S rRNA gene sequencing [5, 38]. Suitable primers are listed in Table 2. However, 16S rRNA sequence-based discrimination within the Haemophilus genus is affected by a high number of polymorphic positions due to intragenomic 16S rRNA operon heterogeneity [34]. A more laborious discriminatory approach is multilocus sequence typing targeting the genes of adenylate kinase (adk), ATP synthase F1 subunit γ (atpG), fumarate reductase iron–sulfur protein (frdB), fuculokinase (fucK), malate dehydrogenase (mdh), glucose-6-phosphate isom-

Reverse primer 5ʹ-CTC-AGA-TTG-AAC-GCT-GGC-GGC-3ʹ

erase (pgi), and recA protein (recA) [5, 34, 39]. Suitable primers are listed in Table 3 [39]. The conserved P6 gene, coding for an outer membrane protein, is another target, which has been sequenced for the successful discrimination of H. influenzae from H. haemolyticus [5] (Table 4). The P6 sequence comparison of 6 H. influenzae strains and 12 H. haemolyticus strains showed sequence identity in all H. influenzae strains. The sequences of the analyzed 12 H. haemolyticus strains were identical as well and differed by 4 of 153 amino acids from that of the P6 genes of H. influenzae [5].

Fluorescence in-situ hybridization – a rapid molecular tool Fluorescence in-situ hybridization is a rapid and easyto-perform molecular tool for the identification of bacterial pathogens. Short fluorescence-labeled oligonucleotide

Table 3. Suitable primers for multilocus sequence typing analysis of Haemophilus spp. [39] Target

Forward primer

Reverse primer

adk

5ʹ-GGT-GCA-CCG-GGT-GCA-GGT-AA-3ʹ

5ʹ-CCT-AAG-ATT-TTA-TCT-AAC-TC-3ʹ

atpG

5ʹ-ATG-GCA-GGT-GCA-AAA-GAG-AT-3ʹ

5ʹ-TTG-TAC-AAC-AGG-CTT-TTG-CG-3ʹ

frdB

5ʹ-CTT-ATC-GTT-GGT-CTT-GCC-GT-3ʹ

5ʹ-TTG-GCA-CTT-TCC-ACT-TTT-CC-3ʹ

fucK

5ʹ-ACC-ACT-TTC-GGC-GTG-GAT-GG-3ʹ

5ʹ-AAG-ATT-TCC-CAG-GTG-CCA-GA-3ʹ

mdh

5ʹ-TCA-TTG-TAT-GAT-ATT-GCC-CC-3ʹ

5ʹ-ACT-TCT-GTA-CCT-GCA-TTT-TG-3ʹ

pgi

5ʹ-GGT-GAA-AAA-ATC-AAT-CGT-AC-3ʹ

5ʹ-ATT-GAA-AGA-CCA-ATA-GCT-GA-3ʹ

recA

5ʹ-ATG-GCA-ACT-CAA-GAA-GAA-AA-3ʹ

5ʹ-TTA-CCA-AAC-ATC-ACG-CCT-AT-3ʹ

Table 4. Primers targeting the P6 gene for amplification with consecutive sequencing to discriminate H. influenzae from H. haemolyticus (according to Ref. [5]) Target P6

Forward primer 5ʹ-ATG-AAC-AAA-TTT-GTT-AAA-TCA-3ʹ

Reverse primer 5ʹ-TTA-GTA-CGC-TAA-CAC-TGC-3ʹ

Table 5. FISH-probes for the discrimination of H. influenzae, H. haemolyticus, and H. parainfluenzae [40] Target organism H. influenzae H. haemolyticus H. parainfluenzae

FISH probe

Probe sequence

Hain 16S1251

5ʹ-TCG-CAGCTT-CGC-TTC-CCT-3ʹ

Hain 16S1253

5ʹ-CGC-AGC-TTC-GCT-TCC-3ʹ

Haha 16S1252

5ʹ-TCG-CAG-YTT-CGC-CAC-CCT-3ʹ

Haha 16S1242

5ʹ-TCG-CCA-CCC-TCT-GTA-TAC-G-3ʹ

Hapa 16S444

5ʹ-ACT-AAA-TGC-CTT-CCT-CGC-TAC-C-3ʹ

European Journal of Microbiology and Immunology

Identification of Haemophilus influenzae

probes bind specifically at their target sequences within the cells, usually at 16S RNA or 23S RNA molecules, which are available in high copy numbers in vital bacteria. A DNA probe set for the discrimination of H. influenzae, H. haemolyticus, and H. parainfluenzae has been recently described for use on a multiwell slide and evaluated [40] (Table 5). The set comprises two probes for H. influenzae, two probes for H. haemolyticus, and one probe for H. parainfluenzae. Due to the close sequence homology of ribosomal RNA of the phylogenetically closely related species H. influenzae and H. haemolyticus, both respective species-specific probes have to show specific binding and all other probes must not show binding to allow for a reliable identification. Applied in this way, FISH allowed for 85% correct identifications, 15% noninterpretable results, and no misidentifications in a recent study comprising 84 Haemophilus spp. strains [40].

Matrix-assisted laser-desorption–ionization time-of-flight mass spectrometry (MALDI–TOF–MS) Matrix-assisted laser-desorption–ionization time-of-flight mass spectrometry (MALDI–TOF–MS) is increasingly available in microbiological laboratories, at least in wellequipped laboratories in Western industrialized countries. Suitability of MALDI–TOF–MS for the discrimination of H. influenzae from H. haemolyticus has been described in 2013 [40, 41] and confirmed in 2014 [42]. Nevertheless, the availability of a well-defined reference spectrum for H. haemolyticus in the applied database is an important prerequisite for this. If such a spectrum is not available, it can be designed using well-characterized reference strains as described [40]. Of note, the spectra of H. haemolyticus and H. influenzae are very similar and there is considerable intraspecies variability. Availability of specific H. influenzae and H. haemolyticus reference spectra will lead to best matches with the species-specific spectrum. However, the spectral distance of H. haemolyticus spectra and H. influenzae spectra does not allow for a broad safety margin for the identification. In a recent analysis, 6 out of 50 H. influenzae strains also matched with a H. haemolyticus spectrum with a score that might theoretically lead to misidentifications [40], although the scores with the H. influenzae reference spectrum were higher; so, in fact, no misidentifications were observed.

Frequency of H. haemolyticus in diagnostic samples The frequency of clinical H. haemolyticus isolates differs considerably depending on the site of sampling, preexisting patient conditions, and the geographical region [43].

65

Between 4% and 27% of throat culture strains that were initially identified as H. influenzae turned out to be H. haemolyticus by confirmatory testing in recent studies [5, 17, 44]. In sputum of COPD patients, up to 39.5% H. haemolyticus isolates were observed, at least if no association with acute exacerbations was guaranteed [5, 45]. Frequency of H. haemolyticus isolates in respiratory samples of cystic fibrosis patients ranged from 0.5% [4] to 10% [38] in recent studies. In studies with mixed upper-respiratory tract specimens, low frequencies of H. haemolyticus isolations between 0% [38] and 0.4% [6] were repeatedly observed in patients without cystic fibrosis. Of note, H. haemolyticus is predominantly present in the oropharynx [46]. In a recent study, H. haemolyticus isolations were completely restricted to oropharynx-associated sampling sites [14]. Geographical distribution is particularly difficult to assess because sophisticated laboratory equipment to reliably discriminate H. haemolyticus from H. influenzae is not available everywhere. Accordingly, available data are restricted to Western industrialized countries. In Australia, very low frequencies of H. haemolyticus isolations were observed in patients with respiratory disease with 10% isolations in cystic fibrosis patients and 0% in patients without cystic fibrosis [38]. Of note, a higher isolation rate of 20% H. haemolyticus strains was observed by assessing naso-oro-pharyngeal swabs from healthy Australians [33]. In oropharyngeal swabs of Australian indigenous children with bronchiectasis, even more H. haemolyticus strains than H. influenzae strains were observed [46]. A very low detection rate of only 0.5% H. haemolyticus in cystic fibrosis patients was described for Denmark [4]. For mixed upper respiratory patient samples from Germany, a frequency of H. haemolyticus isolations between 1.2% and 16.2% was calculated [14]. From nonindustrialized, resource-limited settings, surveillance data are widely missing.

Conclusions The reliable discrimination of H. influenzae and H. haemolyticus remains challenging for the microbiological routine diagnostic laboratory. Biochemical assays have been shown to lack reliability [6, 17, 20–28]. Complex multiplex PCR-approaches [38] or sequence-based approaches [5] are hardly realistic for the routine setting because such procedures are both expensive and demanding regarding hands-on time of technical laboratory assistants. Accordingly, such techniques will remain restricted to study settings. If this technology is available and suitable reference spectra are included in the database, MALDI–TOF–MS has the potential to provide diagnostic results with sufficient reliability for the diagnostic routine situation [40– 42]. For less well-equipped laboratories, FISH might be a cost-efficient and easy-to-perform alternative but will not provide conclusive results in all instances [40]. European Journal of Microbiology and Immunology

66

R. Hinz et al.

For the discrimination of H. influenzae and H. haemolyticus in the diagnostic routine, MALDI–TOF–MS analysis from colony material should be chosen in the first line. The availability of H. haemolyticus reference spectra in the database has to be ensured. If it is not included, it can be designed using a commercially available H. haemolyticus reference strain as described [40]. For laboratories without a MALDI–TOF–MS device, FISH from colony material can be applied as a method of second choice. Although it allows for reliable results in the most instances [40], other molecular approaches like sodC, fucK, and hpd PCR, P6 gene sequencing or 16S rRNA gene sequencing should be available to resolve occasional ambiguous results. Especially, 16S rRNA gene sequencing is nowadays established nowadays in many routine laboratories. It is, however, too laborious, time-consuming, and expensive to be applied as a method of first or second choice. The discriminative power of biochemical approaches is low. Thus, their solitary application for the discrimination of H. influenzae and H. haemolyticus should, if possible, be avoided.

Declaration of interest The authors declare that there are no conflicts of interest.

References 1. Turk DC: The pathogenicity of Haemophilus influenzae. J Med Microbiol 18, 1–16 (1984) 2. Brook I: Current management of upper respiratory tract and head and neck infections. Eur Arch Otorhinolaryngol 266, 315–323 (2009) 3. Leibovitz E, Jacobs MR, Dagan R: Haemophilus influenzae: a significant pathogen in acute otitis media. Pediatr Infect Dis J 23, 1142–1152 (2004) 4. Fenger MG, Ridderberg W, Olesen HV, Nørskov-Lauritsen N: Low occurrence of ‘non haemolytic Haemophilus haemolyticus’ misidentified as Haemophilus influenzae in cystic fibrosis respiratory specimens, and frequent recurrence of persistent H. influenzae clones despite antimicrobial treatment. Int J Med Microbiol 302, 315–319 (2012) 5. Murphy TF, Brauer AL, Sethi S, Kilian M, Cai X, Lesse AJ: Haemophilus haemolyticus: a human respiratory tract commensal to be distinguished from Haemophilus influenzae. J Infect Dis 195, 81–89 (2007) 6. Nørskov-Lauritsen N: Detection of cryptic genospecies misidentified as Haemophilus influenzae in routine clinical samples by assessment of marker genes fucK, hap, and sodC. J Clin Microbiol 47, 2590–2592 (2009) 7. Zautner AE, Krause M, Stropahl G, Holtfreter S, Frickmann H, Maletzki C, Kreikemeyer B, Pau HW, Podbielski A: Intracellular persisting Staphylococcus aureus is the major pathogen in recurrent tonsillitis. PLoS One 5, e9452 (2010) 8. Brook I: Microbiology and management of peritonsillar, retropharyngeal, and parapharyngeal abscesses. J Oral Maxillofac Surg 62, 1545–1550 (2004)

European Journal of Microbiology and Immunology

9. Zautner AE: Adenotonsillar disease. Recent Pat Inflamm Allergy Drug Discov 6, 121–129 (2012) 10. Jeong JH, Lee DW, Ryu RA, Lee YS, Lee SH, Kang JO, Tae K: Bacteriologic comparison of tonsil core in recurrent tonsillitis and tonsillar hypertrophy. Laryngoscope 117, 2146–2151 (2007) 11. Tikhomirova A, Kidd SP: Haemophilus influenzae and Streptococcus pneumoniae: living together in a biofilm. Pathog Dis 69, 114–126 (2013) 12. Garcia-Rodriguez JA, Fresnadillo Martinez MJ: Dynamics of nasopharyngeal colonization of potential respiratory pathogens. J Antimicrob Chemother 50(S2), 59–73 (2002) 13. Kilian M, Poulsen K, Lomholt H: Evolution of the paralogous hap and iga genes in Haemophilus influenza: evidence for a conserved hap pseudogene associated with microcolony formation in the recently diverged Haemophilus aegyptius and H. influenzae biogroup aegyptius. Mol Microbiol 46, 1367–1380 (2002) 14. Frickmann H, Podbielski A, Essig A, Schwarz NG, Zautner AE: Difficulties in species identification within the genus Haemophilus – a pilot study addressing a significant problem for routine diagnostics. Eur J Microbiol Immunol (Bp) 4, 99–105 (2014) 15. Darras-Joly C, Lortholary O, Mainardi JL: Haemophilus endocarditis: report of 42 cases in adults and review. Haemophilus Endocarditis Study Group. Clin Infect Dis 24, 1087–1094 (1997) 16. Hotomi M, Kono M, Togawa A, Arai J, Takai S, Ikeda Y, Ogami M, Murphy TF, Yamanaka N: Haemophilus influenzae and Haemophilus haemolyticus in tonsillar cultures of adults with acute pharyngotonsillitis. Auris Nasus Larynx 37, 594–600 (2010) 17. Munkundan D, Ecevit Z, Patel M, Marrs CF, Gilsdorf JR: Pharyngeal colonization dynamics of Haemophilus influenzae and Haemophilus haemolyticus in healthy adult carriers. J Clin Microbiol 45, 3207–3217 (2007) 18. Anderson R, Wang X, Briere EC, Katz LS, Cohn AC, Clark TA, Messonnier NE, Mayer LW: Haemophilus haemolyticus causing clinical disease. J Clin Microbiol 50, 2462– 2465 (2012) 19. Xie J, Juliao PC, Gilsdorf JR, Marrs CF: Identification of new genetic regions more prevalent in nontypeable Haemophilus influenzae otitis media strains than in throat strains. J Clin Microbiol 44, 4316–4325 (2006) 20. Munson E, Pfaller M, Koontz F, Doern G: Comparison of porphyrin-based, growth factor-based, and biochemicalbased testing methods for identification of Haemophilus influenzae. Eur J Clin Microbiol Infect Dis 21, 196–203 (2002) 21. Munson EL, Doern GV: Comparison of three commercial test systems for biotyping Haemophilus influenzae and Haemophilus parainfluenzae. J Clin Microbiol 45, 4051– 4053 (2007) 22. McCrea KW, Xie J, LaCross N, Patel M, Mukundan D, Murphy TF, Marrs CF, Gilsdorf JR: Relationships of nontypeable Haemophilus influenzae strains to hemolytic and nonhemolytic Haemophilus haemolyticus strains. J Clin Microbiol 46, 406–416 (2008) 23. Pittman M: A classification of the hemolytic bacteria of the genus Haemophilus: Haemophilus haemolyticus Bergey et al. and Haemophilus parahaemolyticus nov spec. J Bacteriol 65, 750–751 (1953)

Identification of Haemophilus influenzae

24. Totten PA, Norn DV, Stamm WE: Characterization of the hemolytic activity of Haemophilus ducreyi. Infect Immun 63, 4409–4416 (1995) 25. Kilian M: A taxonomic study of the genus Haemophilus, with the proposal of a new species. J Gen Microbiol 93, 9–62 (1976) 26. Barbe G, Babolat M, Boeufgras JM, Monget D, Freney J: Evaluation of API NH, a new 2-hour system for identification of Neisseria and Haemophilus species and Moraxella catarrhalis in a routine clinical laboratory. J Clin Microbiol 32, 187–189 (1994) 27. Rennie RP, Brosnikoff C, Shokoples S, Reller LB, Mirrett S, Janda W, Ristow K, Krilcich A: Multicenter evaluation of the new Vitek 2 Neisseria-Haemophilus identification card. J Clin Microbiol 46, 2681–2685 (2008) 28. Valenza G, Ruoff C, Vogel U, Frosch M, Abele-Horn M: Microbiological evaluation of the new VITEK 2 NeisseriaHaemophilus identification card. J Clin Microbiol 45, 3493–3497 (2007) 29. Langford PR, Sheehan BJ, Shaikh T, Kroll JS: Active copper- and zinc-containing superoxide dismutase in the cryptic genospecies of Haemophilus causing urogenital and neonatal infections discriminates them from Haemophilus influenzae sensu stricto. J Clin Microbiol 40, 268–270 (2002) 30. Binks MJ, Temple B, Kirkham LA, Wiertsema SP, Dunne EM, Richmond PC, Marsh RL, Leach AJ, Smith-Vaughan HC: Molecular surveillance of true nontypeable Haemophilus influenzae: an evaluation of PCR screening assays. PLoS ONE 7, e34083 (2012) 31. Sandstedt SA, Zhang L, Patel M, McCrea KW, Qin Z, Marrs CF, Gilsdorf JR: Comparison of laboratory-based and phylogenetic methods to distinguish between Haemophilus influenzae and H. haemolyticus. J Microbiol Methods 75, 369–371 (2008) 32. Theodore MJ, Anderson RD, Wang X, Katz LS, Vuong JT, Bell ME, Juni BA, Lowther SA, Lynfield R, MacNeil JR, Mayer LW: Evaluation of new biomarker genes for differentiating Haemophilus influenzae from Haemophilus haemolyticus. J Clin Microbiol 50, 1422–1424 (2012) 33. Witherden EA, Tristram SG: Prevalence and mechanisms of β-lactam resistance in Haemophilus haemolyticus. J Antimicrob Chemother 68, 2255–2258 (2013) 34. Norskov-Lauritsen N, Overballe MD, Kilian M: Delineation of the species Haemophilus influenzae by phenotype, multilocus sequence phylogeny, and detection of marker genes. J Bacteriol 191, 822–831 (2009) 35. De Ley J, Cattoir H, Reynaerts A: The quantitative measurement of DNA hybridization from renaturation rates. Eur J Biochem 12, 133–142 (1970)

67

36. Huss VAR, Festl H, Schleifer KH: Studies on the spectrophotometric determination of DNA hybridization from renaturation rates. Syst Appl Microbiol 4, 184–192 (1983) 37. Cashion P, Holder-Franklin MA, McCully J, Franklin M: A rapid method for the base ratio determination of bacterial DNA. Anal Biochem 81, 461–466 (1977) 38. Zhang B, Kunde D, Tristam S: Haemophilus haemolyticus is infrequently misidentified as Haemophilus influenzae in diagnostic specimens in Australia. Diagn Microbiol Infect Dis 80(4), 272–273 (2014) 39. Meats E, Feil EJ, Stringer S, Cody AJ, Goldstein R, Kroll JS, Popovic R, Spratt BG: Characterization of encapsulated and noncapsulated Haemophilus influenzae and determination of phylogenetic relationships by multilocus sequence typing. J Clin Microbiol 41, 1623–1636 (2003) 40. Frickmann H, Christner M, Donat M, Berger A, Essig A, Podbielski A, Hagen RM, Poppert S: Rapid discrimination of Haemophilus influenzae, H. parainfluenzae, and H. haemolyticus by fluorescence in situ hybridization (FISH) and two matrix-assisted laser-desorption-ionization time-offlight mass spectrometry (MALDI–TOF–MS) platforms. PLoS ONE 8, e63222 (2013) 41. Zhu B, Xiao D, Zhang H, Zhang Y, Gao Y, Xu L, Lv J, Wang Y, Zhang J, Shao Z: MALDI–TOF MS distinctly differentiates nontypable Haemophilus influenzae from Haemophilus haemolyticus. PLoS ONE 8, e56139 (2013) 42. Bruin JP, Kostrzewa M, Ende A, Badoux P, Jansen R, Boers SA, Diederen BMW: Identification of Haemophilus influenzae and Haemophilus haemolyticus by matrix-assisted laser desorption ionization–time of flight mass spectrometry. Eur J Clin Microbiol Infect Dis 33, 279–284 (2013) 43. Norskov-Lauritsen N: Classification, identification, and clinical significance of Haemophilus and Aggregatibacter species with host specificity for humans. Clin Microbiol Rev 27, 214–240 (2014) 44. Julia PC, Marrs CF, Xie JP, Gilsdorf JR: Histidine auxotrophy in commensal and disease-causing nontypeable Haemophilus influenzae. J Bacteriol 189, 4994–5001 (2007) 45. Sethi S, Evans N, Grant BJB, Murphy TF: New strains of bacteria and exacerbations of chronic obstructive pulmonary disease. New Engl J Med 347, 465–471 (2002) 46. Hare KM, Binks MJ, Grimwood K, Chang AB, Leach AJ, Smith-Vaughan H: Culture and PCR detection of Haemophilus influenzae and Haemophilus haemolyticus in Australian indigenous children with bronchiectasis. J Clin Microbiol 50, 2444–2445 (2012)

European Journal of Microbiology and Immunology

Difficult identification of Haemophilus influenzae, a typical cause of upper respiratory tract infections, in the microbiological diagnostic routine.

Haemophilus influenzae is a key pathogen of upper respiratory tract infections. Its reliable discrimination from nonpathogenic Haemophilus spp. is nec...
222KB Sizes 3 Downloads 9 Views